Triple

T35108939
Position Surface form Disambiguated ID Type / Status
Subject VR-3 Reys E1013230 entity
Predicate hasLandingMode P118651 FINISHED
Object parachute landing LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: parachute landing | Statement: [VR-3 Reys, hasLandingMode, parachute landing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLandingMode
Context triple: [VR-3 Reys, hasLandingMode, parachute landing]
  • A. hasLandingModule
    Indicates that an object is equipped with or includes a module specifically designed for landing operations.
  • B. hasLandingConditions
    Indicates the specific conditions or requirements that must be met for a landing to occur or be permitted.
  • C. hasLandingCharacteristics chosen
    Indicates that an entity possesses specific attributes or features related to how it lands or is capable of landing.
  • D. hasLandingSystem
    Indicates that an entity is equipped with or utilizes a particular landing system for performing landings.
  • E. hasLandingFacilities
    Indicates that a location or structure is equipped with facilities that allow aircraft or other vehicles to land there.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f76dd659d08190bcdc00d37caafb62 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff795d25d08190b7584c72be39d309 completed May 9, 2026, 6:13 p.m.
PD Predicate disambiguation batch_69ff78a90fbc8190a62c57456dc1d4ad completed May 9, 2026, 6:10 p.m.
Created at: May 3, 2026, 4:01 p.m.